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以数字化带动氢能经济的加速发展

行业领导者正在寻找创新的方式来实现他们的可持续发展目标。氢能是一种宝贵的资源,可以帮助公司实现碳减排并降低能源成本。下载本白皮书,了解数字技术是实现氢经济的重要组成部分,并使您能够:

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デジタライゼーションによる水素経済の加速

業界リーダーは、持続可能性目標を達成する革新的な方法を模索しています。水素は、炭素削減とエネルギーコスト削減の実現に役立つ貴重な資源です。このホワイトペーパーをダウンロードして、なぜデジタルテクノロジーが水素経済の実現に不可欠な要素であり、どのようにして以下のことを実現するのかを学んでください。

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Acelerando la economía del hidrógeno a través de la digitalización

Los líderes de la industria buscan formas innovadoras de alcanzar sus objetivos de sustentabilidad. El hidrógeno es un recurso valioso que puede ayudar a las empresas a lograr la reducción de carbono y reducir los costos de energía.

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You Think APM 4.0 is all about Mechanical Equipment Availability?

Wherever you are on your APM journey, we’re here to help ensure you achieve overall equipment effectiveness and operational excellence.

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Enabling Industrial AI with the AIoT Hub: From Vision to Reality One Year After Launch

Reflections on the AIoT Hub’s one-year milestone and its transformation from vision to reality.

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Desarrollando un plan de negocios sustentable e integrado

Para seguir siendo competitivas, las empresas deben desarrollar nuevos niveles de excelencia operativa a través de ladigitalización que les brindará más agilidad, flexibilidad e Insights

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Employee Reflections as AspenTech Turns 40

As we begin our next decade, several long-time AspenTech employees reflect on what it has been like being part of the company over the years.

On-Demand Webinar

Webinar with Capstone Mining: Avoid Unplanned Downtime with Prescriptive Maintenance

Listen as Steve Fiscor, Publisher & Editor of Engineering & Mining Journal and Mike Wickersham, General Manager, Pinto Valley Mine, Capstone Mining Corp., discuss the state of the industry and Capstone’s approach to prescriptive maintenance that helps eliminate unplanned downtime. Gain insights on:

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Rethinking Asset Performance Management - A Conversation with AspenTech's Ron Beck

In this podcast, AspenTech's Ron Beck discusses rethinking Asset Performance Management with ARC Advisory Group's Peter Reynolds.

On-Demand Webinar

Why the Intelligent Edge Will Be Important for Successful Industrial AI Edge Deployments

As the industrial sector evolves from pure IIoT, which focused mainly on connecting assets, to AIoT where pervasive industrial intelligence is the key business driver. We are experiencing a compounding demand for edge technologies that work in concert with cloud workloads. Leveraging the edge to run AI models will provide uninterrupted real-time actionable response while the Cloud executes less critical tasks such as model training, retraining, and sustainment as well as monitoring. This combination will optimize uptimes while minimizing the risk of unseen issues.

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